Sources: Weekly Epidemiological Record (data as of 15 April 2024); *GET2020 database (October 2024)
ources: Weekly Epidemiological Record (April 2024); *GET2020 database (October 2024), **Tropical Data (June 2024)
Cureus 2024 Jan 16;16(1):e52358. doi: 10.7759/cureus.52358
This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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Single TB and HIV Concept Note Albania 2016-2018 27 April 2015
Monitoring implementation of the Dublin Declaration on Partnership to Fight HIV/AIDS in Europe and Central Asia: 2012 progress
Special Report
A practitioner’s guide to the principles of COVID-19 vaccine communications.
The factors that lead people to make choices to take vaccines are nuanced and affected by how they see the world, their perceptions of the choices people like them will make, who they trust, their perceptions of risk,... consistency of message and convenience of actually getting the vaccine.
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DHS Working Papers No. 69
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant economic change in India. The main predictor is a new... measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level.
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Chagas disease, or American trypanosomiasis, is an illness that can cause serious heart and stomach problems. It is caused by a parasite. Chagas disease is common in Latin America, especially in poor, rural areas. It can also be found in the United States, most often in people who were infected befo...re they moved to the U.S.
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Statement
Impact of migration on infectious diseases in Europe | August 2007 | 1-7
Due to the heterogeneous distribution of malaria transmission and its determinants, subnational tailoring (SNT) provides an analytical framework to facilitate the targeting of each population with appropriate intervention packages for maximum impact to inform national strategic planning and prioriti...zation based on resources available. The WHO Global Malaria Programme recommends the use of subnational data on disease epidemiology and other relevant local contextual factors to facilitate the process of SNT. Once the strategies and intervention mixes have been defined, programmes can proceed to the prioritization of
interventions for effective programming, based on available resources
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Social and behavior change (SBC) professionals have often been tasked to find ways to influence knowledge, attitudes, and practices, about vaccines. Now that the COVID-19 vaccines are becoming available worldwide, renewed emphasis and urgency for SBC efforts arise.
To that end, WHO has offered thre...e factors that play a role in vaccine hesitancy, the first two of which can be addressed by SBC: Complacency: Low perceived risk of vaccine-preventable diseases, and vaccination not deemed necessary. Other life/health issues are a greater priority.
Confidence: Low levels of trust in vaccines, in the delivery system, and in health authorities
Convenience: Barriers related to geographic accessibility, availability, affordability, and acceptability of services
This resource page provide a selection of SBC research, tools, and examples that aid in understanding this issue, especially in light of the recent availability of COVID-19 vaccines and the urgency for immunization worldwide.
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FAST FACTS FROM THE 2014 CAMBODIA DEMOGRAPHIC AND HEALTH SURVEY